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All Journal Jurnal Ilmiah Sinus Jurnal Ilmiah Edunomika (JIE) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP)
Wawan Laksito Yuly Saptomo
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Religion Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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Modifikasi Least Significant Bit dalam Steganografi Wawan Laksito Yuly Saptomo
Jurnal Ilmiah SINUS Vol 6, No 2 (2008): Juli 2008
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.639 KB) | DOI: 10.30646/sinus.v6i2.44

Abstract

Algoritma Least Significant Bit (LSB) merupakan teknik yang umum digunakan dalam penyisipan pesan Steganografi. Untuk memperkuat penyembuanyian pesan dilakukan modifikasi teknik LSB. Modifikasi dilakukan dengan teknik penggunaan pixel gambar yang tidak berurutan (random pixel),penyisipan pada LSB bit ke-1 dan LSB bit ke-2 secara bergantian dan acak (random lsb),mengubah seluruh lsb pada gambar (modify all).
Penyelesaian Masalah Transportasi Dengan Metoda Primal-Dual Wawan Laksito Yuly Saptomo
Jurnal Ilmiah SINUS Vol 5, No 1 (2007): Maret 2007
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.298 KB) | DOI: 10.30646/sinus.v5i1.69

Abstract

Masalah Transportasi merupakan permasalahan pendistribuian suatu produk homogen dari beberapa sumber ke beberapa tujuan dengan cara yang paling optimal. Metoda Primal-Dual merupakan penyelesaian masalah transportasi dari model matematika dengan ide dapat ditentukan suatu solusi fisibel dari primal dan solusi fisibel dari dual sedemikian hingga kondisi complementary slackness dipenuhi, maka permasalahan transportasi terselesaikan.
Penyelesaian Masalah Transshipmen Dengan Metoda Primal-Dual Wawan Laksito Yuly Saptomo
Jurnal Ilmiah SINUS Vol 5, No 2 (2007): Juli 2007
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.692 KB) | DOI: 10.30646/sinus.v5i2.60

Abstract

Masalah Pemindahan Muatan adalah masalah transportasi yang melibatkan sambungan yang harus dilewati. Objektifnya adalah menyusun suatu skedul transportasi yang akan memenuhi semua permintaan dengan total biaya minimum. Penyelesaian Primal-Dual masalah Transshipment diselesaikan dengan Algoritma Out-of Kilter dengan ide dapat ditentukan suatu solusi fisibel dari primal dan solusi fisibel dari dual sedemikian hingga kondisi complementary slackness dipenuhi.
Penerapan Agglomerative Hierarchical Clustering Untuk Segmentasi Pelanggan Widyawati Widyawati; Wawan Laksito Yuly Saptomo; Yustina Retno Wahyu Utami
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.75 KB) | DOI: 10.30646/sinus.v18i1.448

Abstract

As more businesses emerge, companies need to have the right marketing strategy to provide the best service to customers. The first step is to know the type of customer and make appropriate marketing strategies according to the type of customer. In this research, it is proposed for clustering customers so that an appropriate strategy for that customer group can be determined. The method used for cluster formation uses Agglomerative Hierarchical Clustering with Average Linkage approach and distance determination using Manhattan Distance. The variables in this research are Recency, Frequency, and Monetary (RFM). The results of testing using the Silhouette coefficient show that the results of 7 clusters are the best results when compared with 2 clusters up to 20 clusters because they have the smallest minus value. Based on the results of the Silhoutte coefficient, customer segmentation uses 7 clusters with each cluster representing the existing customer type.
Peningkatan Kualitas Media Pemasaran Tazkiya Souvenir dengan Web Profil Rimawati, Elistya; Wawan Laksito Yuly Saptomo; Ari Wibowo
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

UMKM Tazkiya Souvenir produces various kinds of souvenirs for training activities or celebrations. To expand the marketing reach, UMKM Tazkiya Souvenir needs to utilize internet media. The purpose of this service activity is to assist Tazkiya Souvenir in increasing a wider marketing reach by utilizing Web Information. Data collection methods include observation, interviews, and literature studies. Web information contains superior products, profile videos, how to order, UMKM addresses, telephone numbers, and admin log in pages. The making of this web profile is expected to help marketing Tazkiya Souvenir UMKM products in the current digital era. The use of Web Profiles makes Tazkiya Souvenir UMKM products more easily recognized by the wider community without distance and time restrictions, so as to increase sales.
Use of Natural Language Processing in Social Media Text Analysis Badry Ali Mustofa; Wawan Laksito Yuly Saptomo
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.875

Abstract

Social media generates enormous volumes of text data, creating both opportunities and challenges for analysis. Natural Language Processing (NLP) enables in-depth analysis of public opinion, identification of trends and language patterns from social media texts. However, texts from social media often face problems with informal language, slang, and spelling errors. This research discusses the application of NLP techniques, such as sentiment analysis, tokenization, and text classification, and compares classical machine learning models (Naive Bayes and SVM) with deep learning models (BERT). Results show deep learning-based models excel at understanding informal language contexts, producing more accurate analysis. This study makes an important contribution in the development of AI-based applications for social media analysis.
PENGARUH PEMBELAJARAN BERBASIS PROJEK DAN MOTIVASI MAHASISWA DALAM PERSIAPAN DUNIA KERJA Elistya Rimawati; Ari Wibowo; Wawan Laksito Yuly Saptomo
JURNAL ILMIAH EDUNOMIKA Vol. 9 No. 3 (2025): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v9i3.18025

Abstract

The evolving world of work in the era of globalization and the Industrial Revolution 4.0 demands that students master not only theoretical knowledge but also basic 21st-century skills. Students and universities need to prepare graduates to compete in the workforce. Project-based learning is one model that can be applied in learning because it offers great potential in creating meaningful experiences for students as they enter the workforce. Student motivation is also necessary to prepare work-ready graduates. The results of the analysis using SEM PLS Project Based Learning (PjBL) and student motivation significantly have a positive effect on student work readiness, where PjBL (X₁) with a path coefficient of 0.387 (p-value 0.000 <0.05) is proven to be effective in building technical competencies, practical skills such as problem-solving, collaboration, communication and project management, as well as developing creativity through the stages of planning, making, presenting, and evaluating products, while motivation (X₂) with a higher path coefficient of 0.420 (p-value 0.000 <0.05) acts as an internal driver that increases students' perseverance, initiative, and psychological readiness in facing the world of work. The synergy of PjBL and Motivation creates a strong combination effect in increasing work readiness, with an R² value of 0.467 indicating that most of the variance in work readiness can be explained by these two exogenous variables. Keywords : Project Based Learning, motivation, work readiness, SEM PLS
Co-Authors Abdullah Azzam Agus Panoto Areka Anggratama Ari Satria Perdhana Ari Wibowo Badry Ali Mustofa Bagus Prasetyo Bebas Widada Didik Nugroho Ego Dwi Pratomo Eky Nur Hidayah Fitri Hanung Wibowo Hendro Wijayanto Joko Purnomo Lia Septiningrum Lita Sugiharto Mawadah A. N Mawar Hardiyanti Muhammad Hasbi Nuur Rochman Naafian Rimawati, Elistya Sri Rudiati Sri Siswanti Supyani Supyani Teguh Susyanto Tri Handayani Tri Irawati Tri Irawati Widyawati Widyawati Yustina Retno Wahyu Utami Yustina Retno Wahyu Utami